Modern Machine Learning as a Benchmark for Fitting Neural Responses

Modern Machine Learning as a Benchmark for Fitting Neural Responses

Neuroscience has long focused on finding encoding models that effectively ask “what predicts neural spiking?” and generalized linear models (GLMs) are a typical approach. It is often unknown how much of explainable neural activity is captured, or missed, when fitting a model. Here we compared the pr...

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Bibliographic Details
Main Authors: Ari S. Benjamin, Hugo L. Fernandes, Tucker Tomlinson, Pavan Ramkumar, Chris VerSteeg, Raeed H. Chowdhury, Lee E. Miller, Konrad P. Kording
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-07-01
Series:Frontiers in Computational Neuroscience
Subjects:
encoding models
neural coding
tuning curves
machine learning
generalized linear model
GLM
Online Access:https://www.frontiersin.org/article/10.3389/fncom.2018.00056/full

Internet

https://www.frontiersin.org/article/10.3389/fncom.2018.00056/full

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